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Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1177

Title: A new approach to automated retinal vessel segmentation using multiscale analysis
Authors: Li, Qin
You, Jane
Zhang, Lei
Zhang, David D.
Bhattacharya, Prabir
Subjects: Computer aided analysis
Image analysis
Image reconstruction
Image segmentation
Medical imaging
Issue Date: 2006
Publisher: IEEE Computer Society
Citation: The 18th International Conference on Pattern Recognition : 20-24 August, 2006, Hong Kong : proceedings, v. 4, p. 77-80.
Abstract: Computer based analysis for automated segmentation of blood vessels in retinal images will help eye care specialists screen larger populations for vessel abnormalities. However, automated retinal segmentation is complicated by the fact that the width of retinal vessels can vary from very large to very small, and that the local contrast of vessels is unstable, especially in unhealthy ocular fundus. We propose a novel method that takes these facts into account. Our method includes a multiscale analytical scheme using Gabor filters and scale production, and a threshold probing technique utilizing the features of retinal vessel network. Our method is good for detecting large and small vessels concurrently. It also offers an efficient way to denoise and enhance the responses of line filters, allowing the detection of vessels with low local contrast.
Rights: © 2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
Type: Conference Paper
URI: http://hdl.handle.net/10397/1177
ISBN: 0769525210
Appears in Collections:COMP Conference Papers & Presentations

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